000152457 001__ 152457
000152457 005__ 20180913055954.0
000152457 037__ $$aPOST_TALK
000152457 245__ $$a Estimation of discrete choice models: extending BIOGEME
000152457 269__ $$a2009
000152457 260__ $$c2009
000152457 336__ $$aTalks
000152457 520__ $$a BIOGEME is a free software package for estimating by maximum likelihood a broad range of random utility models. It can estimate particularly Multivariate Extreme Value (MEV) models including the logit model, the nested logit model, the cross-nested logit model, and the network MEV model, as well as continuous and discrete mixtures of these models. Biogeme has been designed to provide modelers with tools to investigate a wide variety of discrete choice models without worrying about the estimation algorithm itself. We present some new features and capabilities of Biogeme. To make it more flexible, we allow explicitly the user to specify the random utility model to be estimated and the associated likelihood function. With simple formulations, it will be able to handle more sophisticated models such as latent variable models, latent class models, dynamic models, etc. required by modern modeling practice.
000152457 700__ $$0240563$$aBierlaire, Michel$$g118332
000152457 700__ $$0243037$$aFetiarison, Mamy$$g148417
000152457 7112_ $$a Workshop on discrete choice models$$c Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland$$dAugust 27, 2009
000152457 909C0 $$0252123$$pTRANSP-OR$$xU11418
000152457 909CO $$ooai:infoscience.tind.io:152457$$ppresentation$$pENAC
000152457 937__ $$aEPFL-TALK-152457
000152457 970__ $$aTALK-DCA09Fet/TRANSP-OR
000152457 973__ $$aEPFL$$sPUBLISHED
000152457 980__ $$aTALK